List of Open Source Software which can be built on Fugaku

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Spack will be used to manage open source software packages on Fugaku. Fugaku users can easily use pre-installed packages and built packages based on Spack recipes. The following list shows the results of building/compiling packages for aarch64 according to the Spack recipes. Note that the results in this list do not guarantee that each package will work properly. On the other hand, Fujitsu will provide the following packages compiled with Fujitsu compiler on Fugaku as "external" packages, of which Spack can be aware.
  • OpenJDK 11
  • Ruby 2.6.5 or later
  • Python2 2.7.15
  • Python3 3.6.8
  • Numpy 1.14.3
  • SciPy 1.0.0
  • Eclipse IDE 2019-09 R Packages
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netlib-xblas

Package

netlib-xblas

Description

XBLAS is a reference implementation for extra precision BLAS. XBLAS is a
reference implementation for the dense and banded BLAS routines, along
with extended and mixed precision version. Extended precision is only
used internally; input and output arguments remain the same as in the
existing BLAS. Extra precisions is implemented as double-double (i.e.,
128-bit total, 106-bit significand). Mixed precision permits some
input/output arguments of different types (mixing real and complex) or
precisions (mixing single and double). This implementation is proof of
concept, and no attempt was made to optimize performance; performance
should be as good as straightforward but careful code written by hand.

Note


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